Jiwoon Jeon
W. Bruce Croft
ABSTRACT
A large number of question and answer pairs can be collected from question and answer boards and FAQ pages on the Web. This paper proposes an automatic method of finding the questions that have the same meaning. The method can detect semantically similar questions that have little word overlap because it calculates question-question similarities by using the corresponding answers as well as the questions. We develop two different similarity measures based on language modeling and compare them with the traditional similarity measures. Experimental results show that semantically similar questions pairs can be effectively found with the proposed similarity measures.
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Digital Library
- J. M. Ponte, and W. B. Croft, A language modeling approach to information retrieval. Proceedings of the 21st annual international ACM SIGIR Conference, pages 275--281, 1998. Google ScholarDigital Library
- K. Hammond, R. Burke, C. Martin and S. Lytinen, FAQ Finder: a Case-Based Approach to Knowledge Navigation. Proceedings of the 11th Conference on Artificial Intelligence for Applications, pages 80--86, 1995. Google ScholarDigital Library
Index Terms
- Finding semantically similar questions based on their answers
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